The data had 20 subjects.
After 100 cycles, the model status was Maximum cycles reached.
Points should appear close to, and randomly distributed around, the (dashed) identity-line.
Bias is (pred - obs) % Mean weighted error (MWE). Imprecision is %
Root mean, bias-adjusted, weighted, squared error (RMBAWSE). Change
these with setPMoptions().
Residuals should be randomly distributed around zero, with no apparent trend. For how to interpret these plots, please review our website. Weighted prediction errors are weighted by the observation standard deviation, i.e. the error polynomial.
The model included the following primary parameters
Probability distributions, dashed lines are limits.
The following table lists the final support points, in order of decreasing probability.